Computer vision solutions

Models trained on your product.

Generic detectors are trained on internet photographs. Your line has its own lighting, its own occlusion, its own strange edge cases at 4am in the rain. We build detection, classification and tracking models against your actual conditions — then deploy them where the bandwidth and latency budget allows.

Core capabilities

What the models do

Detection & counting

Locate and count objects in frame — product, containers, crates, vehicles, people — with per-class confidence and stable tracking across frames.

Grading & classification

Size, grade and quality banding; defect and damage identification; species and variety classification; harvest-readiness assessment.

Safety & compliance

PPE compliance monitoring, restricted-zone entry, hygiene protocol checks, and process-step verification with evidence retained.

Operational analytics

Throughput, yield, dwell time, bottleneck detection, and shift-over-shift comparison built from the same detection stream.

Environmental monitoring

Camera and sensor fusion for water, air and temperature conditions, with threshold alerting and escalation rules.

Event capture for traceability

Detections converted into structured, validated events with lot codes and timestamps — the foundation of passive FSMA 204 capture.

Systems integration

Analytics are only as good as the camera in front of them.

Most failed vision projects fail physically, not mathematically: wrong lens, wrong mounting height, insufficient light, a network that can't carry the streams. As an Axis Technology Partner we handle the physical layer as part of the engagement rather than assuming it away.

  • Site survey, sight-line planning and camera selection
  • Lens, lighting, IP-rating and PoE budget specification
  • Axis ACAP on-camera analytics where edge processing wins
  • VMS, NVR and ONVIF integration with existing estate
  • Security design: LPR, perimeter, access and threat detection

Assess

What are you trying to know, and can a camera actually see it? We'll tell you when the answer is no.

Pilot

One line, one site, real conditions. A working capture loop and a measurable accuracy figure before anyone commits to a rollout.

Deploy

Hardware specified and integrated, models tuned on site data, dashboards and exports wired into your systems.

Maintain

Drift monitoring, retraining on new conditions, and support from the person who built it.

Also in the toolkit

Live camera streaming with data overlays

Alongside the analytics work we build public-facing livestreams using CamStreamer and Flightradar24 — aviation cameras that overlay live flight data onto the video feed. The same overlay and streaming stack works for site cams, visitor-facing feeds, and operations displays.

Streaming & overlays

When the feed itself is the product.

Real-time data burned onto a live stream, running unattended on Axis hardware. It's a smaller line of work than the traceability practice, but it's the same core skill: getting a camera, a data source and a piece of software to cooperate reliably for months at a time.

Talk about a streaming build

Have a problem a camera might solve?

Describe it in a paragraph. We'll tell you whether it's a vision problem, a process problem, or both.